Overview

Brought to you by YData

Dataset statistics

Number of variables	25
Number of observations	11401
Missing cells	46890
Missing cells (%)	16.5%
Total size in memory	2.0 MiB
Average record size in memory	186.0 B

Variable types

Numeric	7
Text	16
Boolean	2

Alerts

`IS_PLATFORM_USER` has constant value "False"	Constant
`IS_BAD_USER` is highly imbalanced (99.6%)	Imbalance
`STARTDATE` has 1865 (16.4%) missing values	Missing
`ENDDATE` has 2059 (18.1%) missing values	Missing
`DEGREE_RAW` has 1941 (17.0%) missing values	Missing
`FIELD_RAW` has 2937 (25.8%) missing values	Missing
`RSID` has 1088 (9.5%) missing values	Missing
`ULTIMATE_PARENT_RSID` has 1119 (9.8%) missing values	Missing
`SCHOOL_PRESTIGE` has 3022 (26.5%) missing values	Missing
`CAMPUS_COUNTRY` has 2576 (22.6%) missing values	Missing
`LOCATION_COUNTRY` has 6084 (53.4%) missing values	Missing
`UNIVERSITY_COUNTRY` has 6498 (57.0%) missing values	Missing
`UNIVERSITYURL` has 2104 (18.5%) missing values	Missing
`UNIVERSITYURI` has 2065 (18.1%) missing values	Missing
`UNIVERSITY_LOCATION` has 6076 (53.3%) missing values	Missing
`EDUCATION_DESCRIPTION` has 7453 (65.4%) missing values	Missing
`DEGREE_LEVEL` has 3768 (33.0%) zeros	Zeros

Reproduction

Analysis started	2025-09-30 07:18:54.664685
Analysis finished	2025-09-30 07:18:55.696919
Duration	1.03 second
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

USER_ID
Real number (ℝ)

Distinct	4521
Distinct (%)	39.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	577473961.9

Minimum	1241390
Maximum	2225886059
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	89.2 KiB

Quantile statistics

Minimum	1241390
5-th percentile	38152157
Q1	214379847
median	437381605
Q3	677072734
95-th percentile	2061401536
Maximum	2225886059
Range	2224644669
Interquartile range (IQR)	462692887

Descriptive statistics

Standard deviation	554367505.1
Coefficient of variation (CV)	0.9599870153
Kurtosis	2.504441975
Mean	577473961.9
Median Absolute Deviation (MAD)	233244069
Skewness	1.779461698
Sum	6.58378064 × 10¹²
Variance	3.073233308 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
280043285	39	0.3%
1061941613	19	0.2%
137321879	13	0.1%
889644298	13	0.1%
2080840017	13	0.1%
1056527074	13	0.1%
47154339	12	0.1%
443026918	11	0.1%
37340671	11	0.1%
382026552	11	0.1%
Other values (4511)	11246	98.6%

Value	Count	Frequency (%)
1241390	1	< 0.1%
1249886	3	< 0.1%
1284328	3	< 0.1%
1490244	4	< 0.1%
1511359	2	< 0.1%

Value	Count	Frequency (%)
2225886059	3	< 0.1%
2225747644	2	< 0.1%
2225599636	3	< 0.1%
2225251020	3	< 0.1%
2224246512	1	< 0.1%

SCHOOL
Text

Distinct	4284
Distinct (%)	37.6%
Missing	1
Missing (%)	< 0.1%
Memory size	89.2 KiB

Length

Max length	132
Median length	87
Mean length	27.54508772
Min length	1

Characters and Unicode

Total characters	314014
Distinct characters	129
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2981 ?
Unique (%)	26.1%

Sample

1st row	East Carolina University
2nd row	The State University of New York at Canton
3rd row	The University of Tennessee Health Science Center
4th row	University of Nebraska Medical Center
5th row	Northwestern University

Value	Count	Frequency (%)
university	5977	13.6%
of	4118	9.4%
school	2758	6.3%
college	1652	3.8%
new	1000	2.3%
the	971	2.2%
high	806	1.8%
york	748	1.7%
	582	1.3%
institute	567	1.3%
Other values (4277)	24747	56.3%

Most occurring characters

Value	Count	Frequency (%)
	32548	10.4%
e	26341	8.4%
i	25469	8.1%
o	23091	7.4%
n	20525	6.5%
t	17476	5.6%
r	16554	5.3%
a	15346	4.9%
s	14818	4.7%
l	13468	4.3%
Other values (119)	108378	34.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	314014	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	32548	10.4%
e	26341	8.4%
i	25469	8.1%
o	23091	7.4%
n	20525	6.5%
t	17476	5.6%
r	16554	5.3%
a	15346	4.9%
s	14818	4.7%
l	13468	4.3%
Other values (119)	108378	34.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	314014	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	32548	10.4%
e	26341	8.4%
i	25469	8.1%
o	23091	7.4%
n	20525	6.5%
t	17476	5.6%
r	16554	5.3%
a	15346	4.9%
s	14818	4.7%
l	13468	4.3%
Other values (119)	108378	34.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	314014	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	32548	10.4%
e	26341	8.4%
i	25469	8.1%
o	23091	7.4%
n	20525	6.5%
t	17476	5.6%
r	16554	5.3%
a	15346	4.9%
s	14818	4.7%
l	13468	4.3%
Other values (119)	108378	34.5%

STARTDATE
Text

Missing

Distinct	110
Distinct (%)	1.2%
Missing	1865
Missing (%)	16.4%
Memory size	89.2 KiB

Length

Max length	9
Median length	8
Mean length	8.000314597
Min length	8

Characters and Unicode

Total characters	76291
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	34 ?
Unique (%)	0.4%

Sample

1st row	2023/1/1
2nd row	2016/1/1
3rd row	2013/1/1
4th row	2001/1/1
5th row	1994/1/1

Value	Count	Frequency (%)
2016/1/1	497	5.2%
2017/1/1	487	5.1%
2015/1/1	478	5.0%
2014/1/1	466	4.9%
2018/1/1	437	4.6%
2012/1/1	423	4.4%
2013/1/1	417	4.4%
2019/1/1	414	4.3%
2011/1/1	392	4.1%
2020/1/1	386	4.0%
Other values (100)	5139	53.9%

Most occurring characters

Value	Count	Frequency (%)
1	25922	34.0%
/	19072	25.0%
0	11136	14.6%
2	10410	13.6%
9	3434	4.5%
8	1392	1.8%
7	1070	1.4%
4	997	1.3%
6	984	1.3%
3	943	1.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	76291	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	25922	34.0%
/	19072	25.0%
0	11136	14.6%
2	10410	13.6%
9	3434	4.5%
8	1392	1.8%
7	1070	1.4%
4	997	1.3%
6	984	1.3%
3	943	1.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	76291	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	25922	34.0%
/	19072	25.0%
0	11136	14.6%
2	10410	13.6%
9	3434	4.5%
8	1392	1.8%
7	1070	1.4%
4	997	1.3%
6	984	1.3%
3	943	1.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	76291	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	25922	34.0%
/	19072	25.0%
0	11136	14.6%
2	10410	13.6%
9	3434	4.5%
8	1392	1.8%
7	1070	1.4%
4	997	1.3%
6	984	1.3%
3	943	1.2%

ENDDATE
Text

Missing

Distinct	183
Distinct (%)	2.0%
Missing	2059
Missing (%)	18.1%
Memory size	89.2 KiB

Length

Max length	10
Median length	8
Mean length	8.376792978
Min length	8

Characters and Unicode

Total characters	78256
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	45 ?
Unique (%)	0.5%

Sample

1st row	2026/1/1
2nd row	2021/1/31
3rd row	2019/1/31
4th row	2005/1/1
5th row	1998/1/1

Value	Count	Frequency (%)
2019/1/1	316	3.4%
2020/1/1	307	3.3%
2021/1/1	301	3.2%
2018/1/1	287	3.1%
2017/1/1	286	3.1%
2016/1/1	283	3.0%
2015/1/1	265	2.8%
2023/1/1	247	2.6%
2022/1/1	232	2.5%
2012/1/1	232	2.5%
Other values (173)	6586	70.5%

Most occurring characters

Value	Count	Frequency (%)
1	24785	31.7%
/	18684	23.9%
2	11712	15.0%
0	10681	13.6%
3	4492	5.7%
9	2849	3.6%
8	1205	1.5%
4	1000	1.3%
7	971	1.2%
5	968	1.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	78256	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	24785	31.7%
/	18684	23.9%
2	11712	15.0%
0	10681	13.6%
3	4492	5.7%
9	2849	3.6%
8	1205	1.5%
4	1000	1.3%
7	971	1.2%
5	968	1.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	78256	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	24785	31.7%
/	18684	23.9%
2	11712	15.0%
0	10681	13.6%
3	4492	5.7%
9	2849	3.6%
8	1205	1.5%
4	1000	1.3%
7	971	1.2%
5	968	1.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	78256	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	24785	31.7%
/	18684	23.9%
2	11712	15.0%
0	10681	13.6%
3	4492	5.7%
9	2849	3.6%
8	1205	1.5%
4	1000	1.3%
7	971	1.2%
5	968	1.2%

DEGREE
Text

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	89.2 KiB

Length

Max length	11
Median length	9
Mean length	6.5850364
Min length	3

Characters and Unicode

Total characters	75076
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Master
2nd row	Bachelor
3rd row	Doctor
4th row	Doctor
5th row	Doctor

Value	Count	Frequency (%)
bachelor	3900	32.4%
empty	3768	31.3%
master	1585	13.2%
doctor	944	7.8%
high	632	5.3%
school	632	5.3%
mba	373	3.1%
associate	199	1.7%

Most occurring characters

Value	Count	Frequency (%)
e	9452	12.6%
o	7251	9.7%
t	6496	8.7%
r	6429	8.6%
a	5684	7.6%
c	5675	7.6%
h	5164	6.9%
l	4532	6.0%
B	4273	5.7%
p	3768	5.0%
Other values (11)	16352	21.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	75076	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	9452	12.6%
o	7251	9.7%
t	6496	8.7%
r	6429	8.6%
a	5684	7.6%
c	5675	7.6%
h	5164	6.9%
l	4532	6.0%
B	4273	5.7%
p	3768	5.0%
Other values (11)	16352	21.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	75076	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	9452	12.6%
o	7251	9.7%
t	6496	8.7%
r	6429	8.6%
a	5684	7.6%
c	5675	7.6%
h	5164	6.9%
l	4532	6.0%
B	4273	5.7%
p	3768	5.0%
Other values (11)	16352	21.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	75076	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	9452	12.6%
o	7251	9.7%
t	6496	8.7%
r	6429	8.6%
a	5684	7.6%
c	5675	7.6%
h	5164	6.9%
l	4532	6.0%
B	4273	5.7%
p	3768	5.0%
Other values (11)	16352	21.8%

FIELD
Text

Distinct	18
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	89.2 KiB

Length

Max length	22
Median length	5
Mean length	6.43794404
Min length	3

Characters and Unicode

Total characters	73399
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	empty
2nd row	Business
3rd row	Nursing
4th row	Biology
5th row	empty

Value	Count	Frequency (%)
empty	6992	61.1%
business	1340	11.7%
engineering	934	8.2%
law	280	2.4%
economics	262	2.3%
finance	199	1.7%
biology	187	1.6%
medicine	183	1.6%
education	182	1.6%
marketing	153	1.3%
Other values (9)	723	6.3%

Most occurring characters

Value	Count	Frequency (%)
e	11428	15.6%
t	8141	11.1%
m	7474	10.2%
y	7400	10.1%
p	6992	9.5%
n	5745	7.8%
i	5277	7.2%
s	4793	6.5%
g	2444	3.3%
u	1869	2.5%
Other values (23)	11836	16.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	73399	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	11428	15.6%
t	8141	11.1%
m	7474	10.2%
y	7400	10.1%
p	6992	9.5%
n	5745	7.8%
i	5277	7.2%
s	4793	6.5%
g	2444	3.3%
u	1869	2.5%
Other values (23)	11836	16.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	73399	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	11428	15.6%
t	8141	11.1%
m	7474	10.2%
y	7400	10.1%
p	6992	9.5%
n	5745	7.8%
i	5277	7.2%
s	4793	6.5%
g	2444	3.3%
u	1869	2.5%
Other values (23)	11836	16.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	73399	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	11428	15.6%
t	8141	11.1%
m	7474	10.2%
y	7400	10.1%
p	6992	9.5%
n	5745	7.8%
i	5277	7.2%
s	4793	6.5%
g	2444	3.3%
u	1869	2.5%
Other values (23)	11836	16.1%

DEGREE_RAW
Text

Missing

Distinct	2521
Distinct (%)	26.6%
Missing	1941
Missing (%)	17.0%
Memory size	89.2 KiB

Length

Max length	100
Median length	89
Mean length	20.92230444
Min length	1

Characters and Unicode

Total characters	197925
Distinct characters	106
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2085 ?
Unique (%)	22.0%

Sample

1st row	M.S.
2nd row	Bachelor
3rd row	Doctor of Philosophy - PhD
4th row	Doctor of Philosophy (PhD)
5th row	Doctor of Philosophy (Ph.D.)

Value	Count	Frequency (%)
of	4150	13.1%
bachelor	2399	7.6%
	2145	6.8%
science	1487	4.7%
degree	1343	4.2%
arts	1250	3.9%
master	1143	3.6%
ba	731	2.3%
bachelor's	729	2.3%
bs	671	2.1%
Other values (1914)	15626	49.3%

Most occurring characters

Value	Count	Frequency (%)
	22229	11.2%
e	18368	9.3%
o	14877	7.5%
r	12121	6.1%
c	10655	5.4%
a	10374	5.2%
i	10299	5.2%
s	8891	4.5%
t	8400	4.2%
n	7757	3.9%
Other values (96)	73954	37.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	197925	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	22229	11.2%
e	18368	9.3%
o	14877	7.5%
r	12121	6.1%
c	10655	5.4%
a	10374	5.2%
i	10299	5.2%
s	8891	4.5%
t	8400	4.2%
n	7757	3.9%
Other values (96)	73954	37.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	197925	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	22229	11.2%
e	18368	9.3%
o	14877	7.5%
r	12121	6.1%
c	10655	5.4%
a	10374	5.2%
i	10299	5.2%
s	8891	4.5%
t	8400	4.2%
n	7757	3.9%
Other values (96)	73954	37.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	197925	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	22229	11.2%
e	18368	9.3%
o	14877	7.5%
r	12121	6.1%
c	10655	5.4%
a	10374	5.2%
i	10299	5.2%
s	8891	4.5%
t	8400	4.2%
n	7757	3.9%
Other values (96)	73954	37.4%

FIELD_RAW
Text

Missing

Distinct	4129
Distinct (%)	48.8%
Missing	2937
Missing (%)	25.8%
Memory size	89.2 KiB

Length

Max length	168
Median length	88
Mean length	24.81415406
Min length	1

Characters and Unicode

Total characters	210027
Distinct characters	113
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3446 ?
Unique (%)	40.7%

Sample

1st row	Instructional Technology
2nd row	Business Administration; Management
3rd row	Nursing Science
4th row	Biochemistry and Molecular Biology
5th row	Geological and Earth Sciences/Geosciences

Value	Count	Frequency (%)
and	2005	8.1%
science	772	3.1%
	623	2.5%
management	557	2.3%
business	539	2.2%
engineering	516	2.1%
studies	474	1.9%
computer	420	1.7%
finance	372	1.5%
economics	336	1.4%
Other values (2567)	18098	73.2%

Most occurring characters

Value	Count	Frequency (%)
i	18862	9.0%
n	18789	8.9%
e	17929	8.5%
	16280	7.8%
a	14923	7.1%
o	12328	5.9%
t	11794	5.6%
c	10359	4.9%
r	10016	4.8%
s	9424	4.5%
Other values (103)	69323	33.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	210027	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	18862	9.0%
n	18789	8.9%
e	17929	8.5%
	16280	7.8%
a	14923	7.1%
o	12328	5.9%
t	11794	5.6%
c	10359	4.9%
r	10016	4.8%
s	9424	4.5%
Other values (103)	69323	33.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	210027	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	18862	9.0%
n	18789	8.9%
e	17929	8.5%
	16280	7.8%
a	14923	7.1%
o	12328	5.9%
t	11794	5.6%
c	10359	4.9%
r	10016	4.8%
s	9424	4.5%
Other values (103)	69323	33.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	210027	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	18862	9.0%
n	18789	8.9%
e	17929	8.5%
	16280	7.8%
a	14923	7.1%
o	12328	5.9%
t	11794	5.6%
c	10359	4.9%
r	10016	4.8%
s	9424	4.5%
Other values (103)	69323	33.0%

RSID
Real number (ℝ)

Missing

Distinct	2929
Distinct (%)	28.4%
Missing	1088
Missing (%)	9.5%
Infinite	0
Infinite (%)	0.0%
Mean	119774.0406

Minimum	9
Maximum	296932
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	89.2 KiB

Quantile statistics

Minimum	9
5-th percentile	7837
Q1	65045
median	115965
Q3	155147
95-th percentile	267350
Maximum	296932
Range	296923
Interquartile range (IQR)	90102

Descriptive statistics

Standard deviation	71806.62508
Coefficient of variation (CV)	0.5995174306
Kurtosis	-0.1483616846
Mean	119774.0406
Median Absolute Deviation (MAD)	41405
Skewness	0.5624067994
Sum	1235229681
Variance	5156191406
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98025	300	2.6%
46455	231	2.0%
47013	101	0.9%
107574	90	0.8%
116341	87	0.8%
61156	87	0.8%
66310	81	0.7%
163889	72	0.6%
107986	68	0.6%
119646	67	0.6%
Other values (2919)	9129	80.1%
(Missing)	1088	9.5%

Value	Count	Frequency (%)
9	27	0.2%
37	1	< 0.1%
44	1	< 0.1%
58	1	< 0.1%
66	2	< 0.1%

Value	Count	Frequency (%)
296932	1	< 0.1%
294291	1	< 0.1%
294288	1	< 0.1%
294241	1	< 0.1%
294210	1	< 0.1%

ULTIMATE_PARENT_RSID
Real number (ℝ)

Missing

Distinct	2612
Distinct (%)	25.4%
Missing	1119
Missing (%)	9.8%
Infinite	0
Infinite (%)	0.0%
Mean	120285.8274

Minimum	9
Maximum	296932
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	89.2 KiB

Quantile statistics

Minimum	9
5-th percentile	22485
Q1	66310
median	115959
Q3	154166
95-th percentile	265493.9
Maximum	296932
Range	296923
Interquartile range (IQR)	87856

Descriptive statistics

Standard deviation	68861.37824
Coefficient of variation (CV)	0.5724812286
Kurtosis	0.04971963483
Mean	120285.8274
Median Absolute Deviation (MAD)	39237
Skewness	0.6488442488
Sum	1236778877
Variance	4741889413
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98025	448	3.9%
46455	368	3.2%
66310	170	1.5%
47013	144	1.3%
107573	139	1.2%
155147	116	1.0%
61766	108	0.9%
163889	105	0.9%
116341	92	0.8%
61156	87	0.8%
Other values (2602)	8505	74.6%
(Missing)	1119	9.8%

Value	Count	Frequency (%)
9	35	0.3%
44	1	< 0.1%
66	2	< 0.1%
67	1	< 0.1%
68	3	< 0.1%

Value	Count	Frequency (%)
296932	1	< 0.1%
294291	1	< 0.1%
294288	1	< 0.1%
294210	1	< 0.1%
294204	1	< 0.1%

SCHOOL_PRESTIGE
Real number (ℝ)

Missing

Distinct	1423
Distinct (%)	17.0%
Missing	3022
Missing (%)	26.5%
Infinite	0
Infinite (%)	0.0%
Mean	0.3374215692

Minimum	-0.978193998
Maximum	0.986606002
Zeros	0
Zeros (%)	0.0%
Negative	3073
Negative (%)	27.0%
Memory size	89.2 KiB

Quantile statistics

Minimum	-0.978193998
5-th percentile	-0.808278024
Q1	-0.564356029
median	0.918618023
Q3	0.960698009
95-th percentile	0.968349993
Maximum	0.986606002
Range	1.9648
Interquartile range (IQR)	1.525054038

Descriptive statistics

Standard deviation	0.7570980225
Coefficient of variation (CV)	2.243774825
Kurtosis	-1.615280487
Mean	0.3374215692
Median Absolute Deviation (MAD)	0.049571991
Skewness	-0.5176016895
Sum	2827.255329
Variance	0.5731974157
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.960698009	449	3.9%
0.963714004	379	3.3%
0.967827976	178	1.6%
0.956879973	144	1.3%
0.940025985	131	1.1%
0.964698017	116	1.0%
-0.453042001	108	0.9%
0.967414022	105	0.9%
0.924655974	92	0.8%
-0.638598025	87	0.8%
Other values (1413)	6590	57.8%
(Missing)	3022	26.5%

Value	Count	Frequency (%)
-0.978193998	2	< 0.1%
-0.974005997	3	< 0.1%
-0.969403982	1	< 0.1%
-0.967266023	1	< 0.1%
-0.965373993	2	< 0.1%

Value	Count	Frequency (%)
0.986606002	2	< 0.1%
0.984456003	6	0.1%
0.984380007	15	0.1%
0.984134018	2	< 0.1%
0.98388797	6	0.1%

CAMPUS_CLEANED
Text

Distinct	4243
Distinct (%)	37.2%
Missing	2
Missing (%)	< 0.1%
Memory size	89.2 KiB

Length

Max length	127
Median length	88
Mean length	27.30116677
Min length	2

Characters and Unicode

Total characters	311206
Distinct characters	81
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2927 ?
Unique (%)	25.7%

Sample

1st row	east carolina university
2nd row	the state university of new york at canton
3rd row	the university of tennessee health science center
4th row	university of nebraska medical center
5th row	northwestern university

Value	Count	Frequency (%)
university	6046	13.7%
of	4118	9.3%
school	2762	6.3%
college	1678	3.8%
new	1054	2.4%
the	973	2.2%
high	806	1.8%
york	782	1.8%
institute	569	1.3%
business	515	1.2%
Other values (4205)	24753	56.2%

Most occurring characters

Value	Count	Frequency (%)
	32657	10.5%
e	27124	8.7%
i	26987	8.7%
o	23455	7.5%
n	22516	7.2%
s	20551	6.6%
t	19495	6.3%
r	17306	5.6%
a	16922	5.4%
l	14728	4.7%
Other values (71)	89465	28.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	311206	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	32657	10.5%
e	27124	8.7%
i	26987	8.7%
o	23455	7.5%
n	22516	7.2%
s	20551	6.6%
t	19495	6.3%
r	17306	5.6%
a	16922	5.4%
l	14728	4.7%
Other values (71)	89465	28.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	311206	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	32657	10.5%
e	27124	8.7%
i	26987	8.7%
o	23455	7.5%
n	22516	7.2%
s	20551	6.6%
t	19495	6.3%
r	17306	5.6%
a	16922	5.4%
l	14728	4.7%
Other values (71)	89465	28.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	311206	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	32657	10.5%
e	27124	8.7%
i	26987	8.7%
o	23455	7.5%
n	22516	7.2%
s	20551	6.6%
t	19495	6.3%
r	17306	5.6%
a	16922	5.4%
l	14728	4.7%
Other values (71)	89465	28.7%

CAMPUS_COUNTRY
Text

Missing

Distinct	70
Distinct (%)	0.8%
Missing	2576
Missing (%)	22.6%
Memory size	89.2 KiB

Length

Max length	20
Median length	13
Mean length	12.19082153
Min length	4

Characters and Unicode

Total characters	107584
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	0.2%

Sample

1st row	United States
2nd row	United States
3rd row	United States
4th row	Philippines
5th row	Sweden

Value	Count	Frequency (%)
united	7640	46.2%
states	7410	44.8%
kingdom	229	1.4%
india	192	1.2%
canada	117	0.7%
france	69	0.4%
italy	68	0.4%
spain	64	0.4%
australia	61	0.4%
china	54	0.3%
Other values (67)	645	3.9%

Most occurring characters

Value	Count	Frequency (%)
t	22755	21.2%
e	15551	14.5%
a	8828	8.2%
n	8731	8.1%
i	8576	8.0%
d	8296	7.7%
	7724	7.2%
s	7644	7.1%
U	7641	7.1%
S	7583	7.0%
Other values (35)	4255	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	107584	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	22755	21.2%
e	15551	14.5%
a	8828	8.2%
n	8731	8.1%
i	8576	8.0%
d	8296	7.7%
	7724	7.2%
s	7644	7.1%
U	7641	7.1%
S	7583	7.0%
Other values (35)	4255	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	107584	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	22755	21.2%
e	15551	14.5%
a	8828	8.2%
n	8731	8.1%
i	8576	8.0%
d	8296	7.7%
	7724	7.2%
s	7644	7.1%
U	7641	7.1%
S	7583	7.0%
Other values (35)	4255	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	107584	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	22755	21.2%
e	15551	14.5%
a	8828	8.2%
n	8731	8.1%
i	8576	8.0%
d	8296	7.7%
	7724	7.2%
s	7644	7.1%
U	7641	7.1%
S	7583	7.0%
Other values (35)	4255	4.0%

LOCATION_COUNTRY
Text

Missing

Distinct	62
Distinct (%)	1.2%
Missing	6084
Missing (%)	53.4%
Memory size	89.2 KiB

Length

Max length	20
Median length	13
Mean length	12.20199361
Min length	4

Characters and Unicode

Total characters	64878
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	0.3%

Sample

1st row	United States
2nd row	United States
3rd row	United States
4th row	Philippines
5th row	United States

Value	Count	Frequency (%)
united	4604	46.1%
states	4423	44.3%
kingdom	180	1.8%
china	97	1.0%
canada	94	0.9%
india	59	0.6%
australia	44	0.4%
south	36	0.4%
italy	33	0.3%
israel	30	0.3%
Other values (59)	381	3.8%

Most occurring characters

Value	Count	Frequency (%)
t	13623	21.0%
e	9239	14.2%
a	5384	8.3%
n	5280	8.1%
i	5251	8.1%
d	4977	7.7%
	4664	7.2%
U	4605	7.1%
s	4566	7.0%
S	4491	6.9%
Other values (35)	2798	4.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	64878	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	13623	21.0%
e	9239	14.2%
a	5384	8.3%
n	5280	8.1%
i	5251	8.1%
d	4977	7.7%
	4664	7.2%
U	4605	7.1%
s	4566	7.0%
S	4491	6.9%
Other values (35)	2798	4.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	64878	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	13623	21.0%
e	9239	14.2%
a	5384	8.3%
n	5280	8.1%
i	5251	8.1%
d	4977	7.7%
	4664	7.2%
U	4605	7.1%
s	4566	7.0%
S	4491	6.9%
Other values (35)	2798	4.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	64878	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	13623	21.0%
e	9239	14.2%
a	5384	8.3%
n	5280	8.1%
i	5251	8.1%
d	4977	7.7%
	4664	7.2%
U	4605	7.1%
s	4566	7.0%
S	4491	6.9%
Other values (35)	2798	4.3%

UNIVERSITY_COUNTRY
Text

Missing

Distinct	69
Distinct (%)	1.4%
Missing	6498
Missing (%)	57.0%
Memory size	89.2 KiB

Length

Max length	21
Median length	13
Mean length	11.83805833
Min length	4

Characters and Unicode

Total characters	58042
Distinct characters	46
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	0.3%

Sample

1st row	United States
2nd row	United States
3rd row	United States
4th row	United States
5th row	United States

Value	Count	Frequency (%)
united	3991	44.6%
states	3893	43.5%
china	108	1.2%
kingdom	97	1.1%
india	97	1.1%
canada	70	0.8%
australia	42	0.5%
france	40	0.4%
spain	37	0.4%
italy	36	0.4%
Other values (71)	542	6.1%

Most occurring characters

Value	Count	Frequency (%)
t	11964	20.6%
e	8230	14.2%
a	5064	8.7%
n	4769	8.2%
i	4673	8.1%
d	4325	7.5%
	4050	7.0%
s	4038	7.0%
U	3996	6.9%
S	3963	6.8%
Other values (36)	2970	5.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58042	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	11964	20.6%
e	8230	14.2%
a	5064	8.7%
n	4769	8.2%
i	4673	8.1%
d	4325	7.5%
	4050	7.0%
s	4038	7.0%
U	3996	6.9%
S	3963	6.8%
Other values (36)	2970	5.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58042	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	11964	20.6%
e	8230	14.2%
a	5064	8.7%
n	4769	8.2%
i	4673	8.1%
d	4325	7.5%
	4050	7.0%
s	4038	7.0%
U	3996	6.9%
S	3963	6.8%
Other values (36)	2970	5.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58042	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	11964	20.6%
e	8230	14.2%
a	5064	8.7%
n	4769	8.2%
i	4673	8.1%
d	4325	7.5%
	4050	7.0%
s	4038	7.0%
U	3996	6.9%
S	3963	6.8%
Other values (36)	2970	5.1%

IS_BAD_USER
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.3 KiB

False	11398
True	3

Value	Count	Frequency (%)
False	11398	> 99.9%
True	3	< 0.1%

IS_PLATFORM_USER
Boolean

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.3 KiB

False	11401

Value	Count	Frequency (%)
False	11401	100.0%

URI
Text

Distinct	4521
Distinct (%)	39.7%
Missing	0
Missing (%)	0.0%
Memory size	89.2 KiB

Length

Max length	87
Median length	62
Mean length	33.93167266
Min length	19

Characters and Unicode

Total characters	386855
Distinct characters	60
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1031 ?
Unique (%)	9.0%

Sample

1st row	linkedin.com/in/bscobb
2nd row	linkedin.com/in/kashifrivers
3rd row	linkedin.com/in/ulanda-marcus-aiyeku-dnp-pmhnp-bc-ne-bc-840352124
4th row	linkedin.com/in/pranita-atri-76490773
5th row	linkedin.com/in/eddie-brooks-0b01289b

Value	Count	Frequency (%)
linkedin.com/in/hasantimucinozdemir	39	0.3%
linkedin.com/in/jillchasse	19	0.2%
linkedin.com/in/vesteragerm	13	0.1%
linkedin.com/in/chloe-luterman	13	0.1%
linkedin.com/in/dominic-desapio-07774a62	13	0.1%
linkedin.com/in/andraya-yearwood-9b3859182	13	0.1%
linkedin.com/in/oliverknesl	12	0.1%
linkedin.com/in/louis-l-nock-83a01734	11	0.1%
linkedin.com/in/andraya-y-9b3859182	11	0.1%
linkedin.com/in/pietro-nardella-dellova-aa25042a	11	0.1%
Other values (4511)	11246	98.6%

Most occurring characters

Value	Count	Frequency (%)
n	46027	11.9%
i	45395	11.7%
e	25134	6.5%
a	22865	5.9%
/	22802	5.9%
l	20094	5.2%
o	19272	5.0%
m	17120	4.4%
c	16264	4.2%
d	16018	4.1%
Other values (50)	135864	35.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	386855	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	46027	11.9%
i	45395	11.7%
e	25134	6.5%
a	22865	5.9%
/	22802	5.9%
l	20094	5.2%
o	19272	5.0%
m	17120	4.4%
c	16264	4.2%
d	16018	4.1%
Other values (50)	135864	35.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	386855	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	46027	11.9%
i	45395	11.7%
e	25134	6.5%
a	22865	5.9%
/	22802	5.9%
l	20094	5.2%
o	19272	5.0%
m	17120	4.4%
c	16264	4.2%
d	16018	4.1%
Other values (50)	135864	35.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	386855	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	46027	11.9%
i	45395	11.7%
e	25134	6.5%
a	22865	5.9%
/	22802	5.9%
l	20094	5.2%
o	19272	5.0%
m	17120	4.4%
c	16264	4.2%
d	16018	4.1%
Other values (50)	135864	35.1%

EDUCATION_ID
Real number (ℝ)

Distinct	11380
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-9.216409477 × 10¹⁵

Minimum	-9.22169 × 10¹⁸
Maximum	9.222084882 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	5730
Negative (%)	50.3%
Memory size	89.2 KiB

Quantile statistics

Minimum	-9.22169 × 10¹⁸
5-th percentile	-8.33183 × 10¹⁸
Q1	-4.69769 × 10¹⁸
median	-3.12178 × 10¹⁶
Q3	4.630562234 × 10¹⁸
95-th percentile	8.342237691 × 10¹⁸
Maximum	9.222084882 × 10¹⁸
Range	1.844377488 × 10¹⁹
Interquartile range (IQR)	9.328252234 × 10¹⁸

Descriptive statistics

Standard deviation	5.350778188 × 10¹⁸
Coefficient of variation (CV)	-580.5707962
Kurtosis	-1.202570239
Mean	-9.216409477 × 10¹⁵
Median Absolute Deviation (MAD)	4.663510893 × 10¹⁸
Skewness	0.007905324779
Sum	-1.050762845 × 10²⁰
Variance	2.863082722 × 10³⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1.20821 × 10¹⁸	2	< 0.1%
-5.18579 × 10¹⁸	2	< 0.1%
-3.76894 × 10¹⁸	2	< 0.1%
-7.9522 × 10¹⁸	2	< 0.1%
-3.95649 × 10¹⁸	2	< 0.1%
-5.9951 × 10¹⁸	2	< 0.1%
-2.50361 × 10¹⁸	2	< 0.1%
-8.62531 × 10¹⁸	2	< 0.1%
-8.90762 × 10¹⁸	2	< 0.1%
-8.34148 × 10¹⁸	2	< 0.1%
Other values (11370)	11381	99.8%

Value	Count	Frequency (%)
-9.22169 × 10¹⁸	1	< 0.1%
-9.2214 × 10¹⁸	1	< 0.1%
-9.22038 × 10¹⁸	1	< 0.1%
-9.21985 × 10¹⁸	1	< 0.1%
-9.2193 × 10¹⁸	1	< 0.1%

Value	Count	Frequency (%)
9.222084882 × 10¹⁸	1	< 0.1%
9.221546001 × 10¹⁸	1	< 0.1%
9.219007644 × 10¹⁸	1	< 0.1%
9.217667956 × 10¹⁸	1	< 0.1%
9.217205312 × 10¹⁸	1	< 0.1%

DEGREE_LEVEL
Real number (ℝ)

Zeros

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.333040961

Minimum	0
Maximum	6
Zeros	3768
Zeros (%)	33.0%
Negative	0
Negative (%)	0.0%
Memory size	89.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	4
95-th percentile	6
Maximum	6
Range	6
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	1.945314737
Coefficient of variation (CV)	0.8338107944
Kurtosis	-1.062920488
Mean	2.333040961
Median Absolute Deviation (MAD)	2
Skewness	0.1521594592
Sum	26599
Variance	3.784249427
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
3	3900	34.2%
0	3768	33.0%
4	1585	13.9%
6	944	8.3%
1	632	5.5%
5	373	3.3%
2	199	1.7%

Value	Count	Frequency (%)
0	3768	33.0%
1	632	5.5%
2	199	1.7%
3	3900	34.2%
4	1585	13.9%

Value	Count	Frequency (%)
6	944	8.3%
5	373	3.3%
4	1585	13.9%
3	3900	34.2%
2	199	1.7%

SEQUENCENO
Real number (ℝ)

Distinct	39
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.241557758

Minimum	1
Maximum	39
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	89.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	39
Range	38
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.927564365
Coefficient of variation (CV)	0.8599217922
Kurtosis	93.63555805
Mean	2.241557758
Median Absolute Deviation (MAD)	1
Skewness	7.01398027
Sum	25556
Variance	3.71550438
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
1	4509	39.5%
2	3458	30.3%
3	1863	16.3%
4	816	7.2%
5	354	3.1%
6	160	1.4%
7	87	0.8%
8	47	0.4%
9	30	0.3%
10	18	0.2%
Other values (29)	59	0.5%

Value	Count	Frequency (%)
1	4509	39.5%
2	3458	30.3%
3	1863	16.3%
4	816	7.2%
5	354	3.1%

Value	Count	Frequency (%)
39	1	< 0.1%
38	1	< 0.1%
37	1	< 0.1%
36	1	< 0.1%
35	1	< 0.1%

UNIVERSITYURL
Text

Missing

Distinct	3371
Distinct (%)	36.3%
Missing	2104
Missing (%)	18.5%
Memory size	89.2 KiB

Length

Max length	338
Median length	266
Mean length	48.26632247
Min length	36

Characters and Unicode

Total characters	448732
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2068 ?
Unique (%)	22.2%

Sample

1st row	https://www.linkedin.com/company/7522/
2nd row	https://www.linkedin.com/company/230771/
3rd row	https://www.linkedin.com/school/northwestern-university/
4th row	https://www.linkedin.com/company/5077/
5th row	https://www.linkedin.com/school/university-of-gothenburg/

Value	Count	Frequency (%)
https://www.linkedin.com/school/new-york-university	159	1.7%
https://www.linkedin.com/school/columbia-university	150	1.6%
https://www.linkedin.com/company/3159	117	1.3%
https://www.linkedin.com/company/2624	82	0.9%
https://www.linkedin.com/school/cornell-university	63	0.7%
https://www.linkedin.com/school/fashion-institute-of-technology	51	0.5%
https://www.linkedin.com/company/4262	51	0.5%
https://www.linkedin.com/company/7201	48	0.5%
https://www.linkedin.com/school/yale-university	44	0.5%
https://www.linkedin.com/company/7338	36	0.4%
Other values (3361)	8496	91.4%

Most occurring characters

Value	Count	Frequency (%)
/	46484	10.4%
o	31827	7.1%
n	31156	6.9%
w	28886	6.4%
i	28502	6.4%
t	25415	5.7%
c	22802	5.1%
s	21948	4.9%
l	19906	4.4%
e	18998	4.2%
Other values (40)	172808	38.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	448732	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
/	46484	10.4%
o	31827	7.1%
n	31156	6.9%
w	28886	6.4%
i	28502	6.4%
t	25415	5.7%
c	22802	5.1%
s	21948	4.9%
l	19906	4.4%
e	18998	4.2%
Other values (40)	172808	38.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	448732	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
/	46484	10.4%
o	31827	7.1%
n	31156	6.9%
w	28886	6.4%
i	28502	6.4%
t	25415	5.7%
c	22802	5.1%
s	21948	4.9%
l	19906	4.4%
e	18998	4.2%
Other values (40)	172808	38.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	448732	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
/	46484	10.4%
o	31827	7.1%
n	31156	6.9%
w	28886	6.4%
i	28502	6.4%
t	25415	5.7%
c	22802	5.1%
s	21948	4.9%
l	19906	4.4%
e	18998	4.2%
Other values (40)	172808	38.5%

UNIVERSITYURI
Text

Missing

Distinct	3403
Distinct (%)	36.5%
Missing	2065
Missing (%)	18.1%
Memory size	89.2 KiB

Length

Max length	325
Median length	253
Mean length	35.30676949
Min length	23

Characters and Unicode

Total characters	329624
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2094 ?
Unique (%)	22.4%

Sample

1st row	linkedin.com/company/7522
2nd row	linkedin.com/company/230771
3rd row	linkedin.com/school/northwestern-university
4th row	linkedin.com/company/5077
5th row	linkedin.com/school/university-of-gothenburg

Value	Count	Frequency (%)
linkedin.com/school/new-york-university	161	1.7%
linkedin.com/school/columbia-university	150	1.6%
linkedin.com/company/3159	117	1.3%
linkedin.com/company/2624	82	0.9%
linkedin.com/school/cornell-university	65	0.7%
linkedin.com/company/4262	51	0.5%
linkedin.com/school/fashion-institute-of-technology	51	0.5%
linkedin.com/company/7201	48	0.5%
linkedin.com/school/yale-university	45	0.5%
linkedin.com/school/harvard-university	37	0.4%
Other values (3371)	8529	91.4%

Most occurring characters

Value	Count	Frequency (%)
o	32016	9.7%
n	31306	9.5%
i	28660	8.7%
c	22915	7.0%
l	20040	6.1%
e	19121	5.8%
/	18711	5.7%
m	15524	4.7%
s	12743	3.9%
d	11095	3.4%
Other values (39)	117493	35.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	329624	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	32016	9.7%
n	31306	9.5%
i	28660	8.7%
c	22915	7.0%
l	20040	6.1%
e	19121	5.8%
/	18711	5.7%
m	15524	4.7%
s	12743	3.9%
d	11095	3.4%
Other values (39)	117493	35.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	329624	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	32016	9.7%
n	31306	9.5%
i	28660	8.7%
c	22915	7.0%
l	20040	6.1%
e	19121	5.8%
/	18711	5.7%
m	15524	4.7%
s	12743	3.9%
d	11095	3.4%
Other values (39)	117493	35.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	329624	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	32016	9.7%
n	31306	9.5%
i	28660	8.7%
c	22915	7.0%
l	20040	6.1%
e	19121	5.8%
/	18711	5.7%
m	15524	4.7%
s	12743	3.9%
d	11095	3.4%
Other values (39)	117493	35.6%

UNIVERSITY_LOCATION
Text

Missing

Distinct	847
Distinct (%)	15.9%
Missing	6076
Missing (%)	53.3%
Memory size	89.2 KiB

Length

Max length	93
Median length	46
Mean length	14.75173709
Min length	3

Characters and Unicode

Total characters	78553
Distinct characters	95
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	342 ?
Unique (%)	6.4%

Sample

1st row	Greenville, NC
2nd row	Memphis, Tennessee
3rd row	Omaha, Nebraska
4th row	Laoag, Ilocos Norte
5th row	New York, NY

Value	Count	Frequency (%)
ny	1326	10.4%
new	1090	8.6%
york	897	7.0%
nj	325	2.6%
pa	246	1.9%
ca	212	1.7%
ma	210	1.6%
chicago	145	1.1%
massachusetts	139	1.1%
cambridge	134	1.1%
Other values (983)	8014	62.9%

Most occurring characters

Value	Count	Frequency (%)
	7414	9.4%
e	5353	6.8%
a	5214	6.6%
,	5182	6.6%
n	5002	6.4%
o	5002	6.4%
r	3986	5.1%
i	3599	4.6%
t	2955	3.8%
N	2765	3.5%
Other values (85)	32081	40.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	78553	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	7414	9.4%
e	5353	6.8%
a	5214	6.6%
,	5182	6.6%
n	5002	6.4%
o	5002	6.4%
r	3986	5.1%
i	3599	4.6%
t	2955	3.8%
N	2765	3.5%
Other values (85)	32081	40.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	78553	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	7414	9.4%
e	5353	6.8%
a	5214	6.6%
,	5182	6.6%
n	5002	6.4%
o	5002	6.4%
r	3986	5.1%
i	3599	4.6%
t	2955	3.8%
N	2765	3.5%
Other values (85)	32081	40.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	78553	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	7414	9.4%
e	5353	6.8%
a	5214	6.6%
,	5182	6.6%
n	5002	6.4%
o	5002	6.4%
r	3986	5.1%
i	3599	4.6%
t	2955	3.8%
N	2765	3.5%
Other values (85)	32081	40.8%

EDUCATION_DESCRIPTION
Text

Missing

Distinct	3827
Distinct (%)	96.9%
Missing	7453
Missing (%)	65.4%
Memory size	89.2 KiB

Length

Max length	1590
Median length	726
Mean length	168.9898683
Min length	3

Characters and Unicode

Total characters	667172
Distinct characters	124
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3763 ?
Unique (%)	95.3%

Sample

1st row	Activities and Societies: The Golden Key International Honour Society
2nd row	Activities and Societies: President, Graduate Student Association (2020-2021) Graduate Student Senator, UNMC student senate (2020-2021) Vice President, Graduate Student Association (2019-2020) Treasurer, International Student Association (2018-2019)
3rd row	Ph.D. research explores earthquake hazard maps, how to assess their performance, and measuring uncertainties in their calculations. We hope to address the questions of why maps sometimes fail with disastrous consequences (such as Tohoku 2011, Haiti 2011, or Nepal 2015), and suggest ways to improve their generation and performance.
4th row	Activities and Societies: A member of the Presidential Scholars
5th row	Coursework covers univariate and multivariate analysis. Additional focus has been placed on machine learning, time series analysis, computing and experimental design.

Value	Count	Frequency (%)
and	4689	5.1%
of	2602	2.8%
the	2386	2.6%
	2383	2.6%
in	2111	2.3%
activities	1389	1.5%
societies	1363	1.5%
for	978	1.1%
to	975	1.1%
a	951	1.0%
Other values (12545)	72512	78.5%

Most occurring characters

Value	Count	Frequency (%)
	88250	13.2%
e	56286	8.4%
i	47919	7.2%
a	42809	6.4%
t	41487	6.2%
n	41260	6.2%
o	37837	5.7%
r	33015	4.9%
s	31756	4.8%
c	21919	3.3%
Other values (114)	224634	33.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	667172	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	88250	13.2%
e	56286	8.4%
i	47919	7.2%
a	42809	6.4%
t	41487	6.2%
n	41260	6.2%
o	37837	5.7%
r	33015	4.9%
s	31756	4.8%
c	21919	3.3%
Other values (114)	224634	33.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	667172	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	88250	13.2%
e	56286	8.4%
i	47919	7.2%
a	42809	6.4%
t	41487	6.2%
n	41260	6.2%
o	37837	5.7%
r	33015	4.9%
s	31756	4.8%
c	21919	3.3%
Other values (114)	224634	33.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	667172	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	88250	13.2%
e	56286	8.4%
i	47919	7.2%
a	42809	6.4%
t	41487	6.2%
n	41260	6.2%
o	37837	5.7%
r	33015	4.9%
s	31756	4.8%
c	21919	3.3%
Other values (114)	224634	33.7%

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks